Foundations
Python, NumPy, Pandas, SQL and exactly the math you need to understand models — no more, no less.
Machine Learning:
from scratch to production.
Most ML courses teach you to call fit-predict. We derive the models: loss functions, linear algebra and optimization implemented in Python from scratch — the foundation that gets engineers hired.
The program
Core ML
Linear models, metrics, validation, overfitting and leakage — formulas derived and models written from scratch.
Advanced
Trees, ensembles, boosting, feature engineering, optimization and SVD.
Production
Git, Docker, model deployment and the engineering discipline interviewers actually ask about.
What you get
Mentor-led format
Homework with review, regular calls and personal feedback. One subscription covers the whole school — no tier upsells.
Public portfolio
Your work lives on GitHub and Kaggle from day one — verifiable proof of skill instead of a certificate.
Path to real projects
Strong learners join the school's commercial outsourcing work under review and graduate with production experience.
Start learning Machine Learning
Two days of full access, free: every course, private channels and materials.